Laureen spent 10 years in medical billing — one of the most repetitive, deadline-driven jobs in business. That experience is exactly why her automations work in the real world.
Medical billing is relentless. Claims, follow-ups, denials, appeals, status checks — thousands of tiny, rules-based tasks that have to be done correctly and on time, every single day. Laureen did that work by hand for a decade. She knows what it feels like to lose a whole afternoon to a process a computer should be running.
So she started building computers to run it. Using AI models, Make.com, and Cloudflare Workers, she built her first agents to handle the repetitive parts of her own work — and then kept going.
"I don't automate from a whiteboard. I automate from ten years of being the person buried in the work."
Laureen built more than 20 AI agents that run live operations — while holding a full-time job and raising her family as a single mom.
The agents aren't demos. They handle outreach, classify replies, follow up with leads, draft reports, run weekly business reviews, and watch for problems — the kind of end-to-end work most businesses still pay people to do manually.
She built them in the early mornings and late nights, one working system at a time. That's the standard she brings to client work: every engagement has to end with something that actually runs, not a strategy deck.
Laureen shares her process openly on TikTok at @LearningAIwithLaureen, where she shows real people how AI agents and automation actually work.
The goal isn't hype. It's to make AI automation understandable for business owners who've been told it's either magic or a threat — when really it's just a tool that takes the boring work off your plate.
Three principles shape every project: ship something that works, keep it in plain English, and never automate a process you don't understand first.
Every engagement ends with automation you can actually use. Strategy is part of the job, but it's never the whole deliverable.
You'll never be buried in jargon. If you can describe the task, you can understand how it gets automated.
Bad automation just makes mistakes faster. We map how the work really happens before we build anything.
You don't have to bet big on day one. Start with a $497 assessment and only scale once the value is obvious.
Laureen Nicholson is the founder of Nicholson AI Group and an AI workflow automation specialist with 10 years of experience in medical billing and revenue cycle management. She has built more than 20 AI agents that run live business operations, and shares her work publicly on TikTok as @LearningAIwithLaureen.
Laureen spent a decade doing exactly the kind of repetitive, deadline-driven work that AI automation now replaces. That operational background means she designs automations around how the work actually happens. She has also personally built and deployed more than 20 working AI agents.
Laureen builds in public on TikTok at @LearningAIwithLaureen, where she shares how she designs AI agents and automates business workflows. Her consulting work runs through learningaiwithlaureen.com.
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